Plant metabolomics: large-scale phytochemistry in the functional genomics era.

By Lloyd W. Sumner, Pedro Mendes, Richard A. Dixon. Phytochemistry, 2003

1,083 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/a8372923c4d1673cf6502bc6dbadcd37a2aa7614

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Citations in the corpus

Achievements and Challenges in Legume Breeding for Pest and Disease Resistance (2015, background): “They are the direct consequence of protein activity that in turn depends on the actual level of gene expression and protein accumulation after the integration of post-transcriptional and posttranslational regulations (Fiehn, 2002; Sumner et al., 2003).”
Metabolic differentiation of Arabidopsis treated with methyl jasmonate using nuclear magnetic resonance spectroscopy (2006, background): “The major limitation of metabolomics is its current inability to comprehensively profile all of the metabolome due to their chemical complexity [8–10].”
Linking aboveground and belowground interactions via induced plant defenses. (2005, background): “because differences in gene expression profiles do not automatically translate in metabolic differences (i.e. on the phenotype level) [ 69 ].”
Chemical derivatization and mass spectral libraries in metabolic profiling by GC/MS and LC/MS/MS. (2005, background): “The emerging field of metabolomics requires profiling and fingerprinting methods (Fiehn et al., 2000a; Glassbrook and Ryals, 2001; Harrigan and Goodacre, 2003; Sumner et al., 2003) capable of measuring the absolute or relative amounts of all metabolites (the metabolome).”
Metabolomics technology and bioinformatics (2006, methodology): “ANALYTICALAPPROACHES There are multiple techniques that can be used for metabolite profiling (reviewed in [47]).”
Correlative GC-TOF-MS-based metabolite profiling and LC-MS-based protein profiling reveal time-related systemic regulation of metabolite–protein networks and improve pattern recognition for multiple biomarker selection (2005, methodology): “Metabolite measurements have been used for decades to characterize biological systems (Gerhardt et al., 1987; Nicholson et al., 1999, 2002; Trethewey et al., 1999; Ott et al., 2003; Sumner et al., 2003; Castrillo and Oliver, 2004; Goodacre et al., 2004).”
Potential of metabolomics as a functional genomics tool. (2004, background): “Metabolomics (comprehensive analysis in which all the metabolites of an organism are identified and quantified [1]) has emerged as a functional genomics methodology that contributes to our understanding of the complex molecular interactions in biological systems [ 2 ].”
Metabolomics: a global biochemical approach to drug response and disease. (2008, background): “Unsupervised algorithms identify patterns in the data without bias and are typically driven by the largest changes (variance) in the dataset (75, 76).”
RIKEN tandem mass spectral database (ReSpect) for phytochemicals: a plant-specific MS/MS-based data resource and database. (2012, methodology): “…chromatographic separation and mass spectrometry (MS) are widely used for high throughput and high sensitivity/selectivity analysis of a broad range of phytochemicals (Fiehn et al., 2000; Guy et al., 2008; Hall et al., 2008; Saito and Matsuda, 2010; Schauer and Fernie, 2006; Sumner et al., 2003).”
Biotechnology approaches to overcome biotic and abiotic stress constraints in legumes (2006, background): “Alternative mRNA splicing, 24 protein turn-over rates and post-translational modifications that modulate protein activity 25 imply that changes in the transcriptome or proteome do not always correspond to alterations 1 in the cell metabolome (Sumner et al. 2003).”